Aaron S. Jackson

Computer Vision and Pattern Recognition · 2016–2017

A researcher in the Science corpus: 2 papers; trusts 88 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 34 citations into it; #11,193 of 21,575 by trust here, #13,815 by citations
• Computational Mechanics — 5 citations into it

Whom Aaron S. Jackson trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. David Eigen
2. Kaiming He
3. Ira Kemelmacher-Shlizerman
4. Rob Fergus
5. Evan Shelhamer
6. Thomas Vetter
7. Geoffrey E. Hinton
8. Alex Krizhevsky
9. Sami Romdhani
10. Yann LeCun

Who trusts Aaron S. Jackson overall

1. Anh Tuan Tran
2. Timo Bolkart
3. Michael J. Black
4. Nantheera Anantrasirichai
5. Soubhik Sanyal
6. Radek Daněček
7. Yao Feng
8. Anurag Ranjan
9. Tong He
10. Zerong Zheng

Papers from Aaron S. Jackson's perspective

Ordered by how strongly the researchers Aaron S. Jackson trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. ImageNet: A large-scale hierarchical image database
6. Attention is All you Need (Neural Information Processing Systems)
7. Long Short-Term Memory
8. ImageNet Large Scale Visual Recognition Challenge
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Going deeper with convolutions

Their papers

• Large Pose 3D Face Reconstruction from a Single Image via Direct Volumetric CNN Regression (2017) — 471 citations
• Deep machine learning provides state-of-the-art performance in image-based plant phenotyping (2016) — 365 citations